Multiple classifier systems incorporating uncertainty [Elektronische Ressource] / vorgelegt von Christian André Thiel

Christian ThielMultipleClassifierSystemsIncorporatingUncertaintyThe title page and cover show the painting doctors by Michael S. Parker(www.michaelsparker.com), 2003. Used with friendly permission of the artist.Cover layout by Kreativfrosch Grafik + Design (www.kreativfrosch.eu),Wegscheid bei Passau, Germany.Universit¨at Ulm| 89069 Ulm| GermanyDissertation zur Erlangung des DoktorgradesDoktor der Naturwissenschaften (Dr. rer. nat.)der Fakult¨ at fur¨ Ingenieurwissenschaften und Informatikder Universit¨ at Ulmvorgelegt vonChristian Andr´e ThielAngefertigt am Institut fur¨ NeuroinformatikEinreichung der Dissertation: Dezember 2009Tag der Promotion: 10. Juni 2010Gutachter: Prof. Dr. Gun¨ ther Palmhter: Prof. Dr. Heiko NeumannGutachter: Prof. Dr. Barbara HammerAmtierender Dekan der Fakult¨ at:Prof. Dr.-Ing. Michael Weberwww.ChristianThiel.comAbstractThe inclusion of uncertain class information into multi classifier systems (MCS)is the central theme in this thesis. A multi classifier system relies on multiplebase classifiers, each of which is trained on a separate view of the problem athand. Combining their answers will lead to a more accurate final decision. Anexample would be emotion recognition, with decisions based on observations ofthe mouth, the eyes or the pitch of the voice.Traditionally in classification one sample is associated with exactly one class,for example anger.